The only useful model is the one which is in production, but creating a model on your laptop is much easier than putting it into a production-ready capacity. In the real world, data is big, messy, and often in the cloud or unstructured format. Simply cleaning the data is a task in itself. Then making predictions on top of this, using a model which requires precise inputs, and transporting your model to a scaleable environment is a different challenge altogether.
Fortunately, some models are simple enough that they do not require a re-coding to be useful. A linear model is one example. In this tutorial, you will learn how to quickly convert a linear model from R into an Excel spreadsheet.
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